Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data.
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise estimation of a given patient's state and prognosis. With the purpose of advancing to personalized medicine framework, accurate diagnoses allow prescription of more effective treatments adapted to...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0230536 |